mirror of
https://github.com/deepseek-ai/deepseek-harness.git
synced 2026-08-29 04:26:38 +00:00
Tianyi Cui
01da043737
Migrate the packaged-runtime smoke inventory from complete Cordis trees to the sdk profile plus ordered patches. Preserve the focused minimal and advanced behaviors, update the generated durable snapshots for explicit permission events and the smaller RunResult, and keep worker, MCP, ripgrep, PTY/editor, direct JSON-RPC, and real-provider coverage. Add an installed-only external bundle scenario that invokes the wheel's dsh plugin command with a local file package, verifies profile manifest reconciliation, imports @deepseek-ai/cordis as a peer, asserts the packaged proxy returns the exact host Context instance, and proves its system-prompt contribution reaches the model. Migrate the repository source e2e and runnable minimal example to the same profile grammar.
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""Run one minimal-agent turn through the bundled Python SDK runtime."""
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from __future__ import annotations
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import argparse
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import os
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from pathlib import Path
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from deepseek_harness import DeepSeekHarness
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PATCH = Path(__file__).with_name("minimal.patch.yml")
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def main() -> None:
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"""Parse one task and print the agent's final response."""
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parser = argparse.ArgumentParser()
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configured_home = os.environ.get("DSH_HOME", "")
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parser.add_argument("prompt", help="Task for the minimal agent")
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parser.add_argument("--workspace", type=Path, default=Path.cwd())
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parser.add_argument(
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"--dsh-home",
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type=Path,
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default=Path(configured_home) if configured_home.strip() else None,
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)
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parser.add_argument("--profile", default="sdk")
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parser.add_argument("--session-id")
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parser.add_argument("--provider", default="deepseek-official")
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parser.add_argument("--model", default=os.environ.get("DSH_MODEL", "deepseek-v4-flash"))
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parser.add_argument("--max-tokens", type=int)
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args = parser.parse_args()
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if args.dsh_home is None:
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parser.error("--dsh-home or a non-empty DSH_HOME is required")
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workspace = args.workspace.resolve()
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dsh_home = args.dsh_home.resolve()
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with DeepSeekHarness(
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provider=args.provider,
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model=args.model,
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max_tokens=args.max_tokens,
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cwd=str(workspace),
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dsh_home=str(dsh_home),
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profile=args.profile,
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patches=(str(PATCH.resolve()),),
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) as harness:
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result = harness.run(args.prompt, session_id=args.session_id)
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print(result.final_response)
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if __name__ == "__main__":
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main()
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